scholarly journals Evaluation of water resource preservation areas in the Hydrographical Basin of Andreas Stream, RS, Brazil, using environmental monitoring programs

2019 ◽  
Vol 14 (2) ◽  
pp. 1
Author(s):  
Rodrigo Augusto Klamt ◽  
Eduardo Alexis Lobo ◽  
Adilson Ben da Costa ◽  
Dionei Minuzzi Delevati
Keyword(s):  
Water Quality ◽  
Environmental Monitoring ◽  
Water Resource ◽  
Monitoring Program ◽  
Oxygen Demand ◽  
Ammonia Nitrogen ◽  
Environmental Services ◽  
Payment For Environmental Services ◽  
Resource Preservation ◽  
Before And After

This research evaluated the effectiveness of the implementation of water resource preservation areas in the Hydrographical Basin of Andreas Stream, county of Vera Cruz, RS, Brazil, established through Payment for Environmental Services (PES), using an environmental monitoring program to assess physical, chemical and microbiological variables. The PES is linked to the "Water Guardian" project, which aims to ensure the preservation of water resources by paying farmers for providing the environmental services to protect the springs and riparian areas that lie within their properties. Twenty sampling stations were selected for collecting water samples monthly during the period July 2012 to June 2014 (460 samples) to evaluate the following variables: water temperature, pH, turbidity, dissolved oxygen, biochemical oxygen demand, nitrate, ammonia nitrogen, phosphate, total dissolved solids and thermotolerant coliforms. The evaluation was made based on decree 357/2005 of the National Environmental Council (CONAMA) and by applying the Water Quality Index (WQI). The results indicated a significant improvement in the water quality when comparisons were made between the periods before and after the installation of the preservation areas. The sampling points classified as “good” (CONAMA and WQI), which indicates water of good quality that is appropriate for multiple uses, increased from 52.0% to 72.0%. In this sense, promoting the preservation of headwaters and riparian zones becomes of fundamental importance and highlights the role of PES as an operational tool for water resource preservation.

Water-Quality Assessment of Lv-Tang River in Zhanjiang, China

2013 ◽  
Vol 295-298 ◽  
pp. 755-758 ◽  
Author(s):  
Ya Yun Liu ◽  
Zhi Hong Li ◽  
Xiao Jian Liang ◽  
Yan Peng Lin ◽  
Rong Hao Wu ◽  
...  
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Oxygen Demand ◽  
Pollution Index ◽  
Ammonia Nitrogen ◽  
Single Parameter ◽  
Water Quality Parameter ◽  
National Quality

Based on the water quality investigation data of December in 2010, the water environment quality of Lv-tang River in Zhanjiang national urban wetland park was assessed using single water quality parameter model and integrated water quality index model. The results show that the water quality of Lv-tang River is worse than the national quality standards for Grade V. The water is polluted seriously. The main pollutants are total nitrogen (TN), ammonia nitrogen (NH3-N) and chemical oxygen demand CODCr with their average concentrations of 60.49 mg/L, 30.57 mg/L and 227.38mg/L, respectively. The averages of their single parameter pollution index are 30.25 , 19.79 and 8.74. The average of single parameter pollution index of the river is 8.23 which indicated that the river belongs to heavy pollution zone. The integrated water quality index was 22.5 showing that the river belongs to serious pollution zone.

scholarly journals Impact of Partially Treated Wastewater on Downstream Water Quality of Notwane River in Botswana

2018 ◽  
pp. 1-9
Author(s):  
Gilbert K. Gaboutloeloe ◽  
Gugu Molokwe ◽  
Benedict Kayombo
Keyword(s):  
Water Quality ◽  
Pearson Correlation ◽  
Oxygen Demand ◽  
Ammonia Nitrogen ◽  
Treated Wastewater ◽  
Nitrate N ◽  
River Stretch ◽  
Ph Range ◽  
The Impact

The impact of partially treated wastewater on the water quality of Notwane river stretch in the Gaborone region of Botswana was investigated. Water samples collected at effluent discharge point and three other sampling sites downstream were analyzed for pH, temperature, Biological Oxygen Demand (BOD5), Ammonia-nitrogen (Ammonia-N) and Nitrate-nitrogen (Nitrate-N). Sampling was conducted bi-weekly between February 2013 and April 2013. The ranges of measured parameters were:  pH (7.6-8.5), temperature (22-23ºC), BOD5 (11.2-27.0 mg/l), Ammonia-N (2.4-60.5 mg/l), Nitrate-N (20.6-28.6 mg/l). Analysis of variance, Games-Howel multiple comparisons and Pearson correlation were used to separate variable means. The results signal river non-point pollution due to runoff inflow of organics mainly from land use and domestic waste dumping by nearby dwellings. Temperature, BOD5, and pH range values were all within the Botswana Bureau of Standards (BOBS) limit while the maximum Ammonia-N and Nitrate-N were above BOBS limit by 50.5 mg/l and 6.6 mg/l, respectively. Regulations on indiscriminate waste dumping and discharge standards adherence should be enforced.

Water Quality Monitoring, Early Warning and Identification of Risk Sources of South Lake Central Ecological Park in Tangshan City

2013 ◽  
Vol 746 ◽  
pp. 147-151 ◽  
Author(s):  
Jun Li ◽  
Jun Wang Tong ◽  
Shou Fang Jiang ◽  
Liu Nan ◽  
Shao Jia Wang ◽  
...  
Keyword(s):  
Water Quality ◽  
Nitrate Nitrogen ◽  
Oxygen Demand ◽  
Pollution Index ◽  
Ammonia Nitrogen ◽  
National Standards ◽  
Polluted Water ◽  
Clean Water ◽  
Sample Points

Objectives To assess the current eutrophication and heavy metal pollution condition of South Lake by monitoring the water quality of South Lake Central Ecological Park in Tangshan city and to provide basic information and science basis for the continuity environmental monitoring and further treatment. Methods The water samples in South Lake were collected during 10th-12st May, 2011. Samples of surface water in Xixingchi, Yanglongshui, and Qingtianjing were determined temperature, pH, turbidity, dissolved oxygen (DO), biochemical oxygen demand (COD), biological oxygen demand (BOD520), total phosphorus (TP), ammonia nitrogen, nitrite nitrogen, nitrate nitrogen, Hg, As, Cr, Cu, Zn, Ni, Pb, Cd and so on. Single water quality index and the integrated pollution index were calculated to assess water quality of sampling point. Results The sense character of all sample points did not accord with national standards.The BOD520 of Xixingchi, West Yanglongshui, North Yanglongshui and the four sampling points of Qingtianjing were more than national standards. The TP, ammonia nitrogen and nitrate nitrogen of Qingtianjings sample points exceeded national standards. Indicatorss of other sample were accord with national standards. Xixingchi, whichs comprehensive pollution index was 0.27, belonged to clean water. Yanglongshui, which`s comprehensive pollution index was 0.22, belonged to clean water too. Qingtianjing, whichs comprehensive pollution index was 1.99, belonged to polluted waters. Conclusions Xixingchi and Yanglongshui belongs to clean water. Qingtianjing belongs polluted water. The TP, ammonia nitrogen and nitrate nitrogen of Qingtianjings four sample points exceeded national standards. The severity of the pollution is: Qingtianjing>Yanglongshui>Xixingchi.

scholarly journals Water Quality of Rooftop Rainwater Harvesting System (MyRAWAS)

2021 ◽  
Vol 880 (1) ◽  
pp. 012039
Author(s):  
N U M Nizam ◽  
M M Hanafiah ◽  
M B Mokhtar ◽  
N A Jalal
Keyword(s):  
Water Quality ◽  
Rainwater Harvesting ◽  
Oxygen Demand ◽  
Total Coliform ◽  
Coliform Bacteria ◽  
Temperature Conductivity ◽  
Average Value ◽  
Safe Level ◽  
Before And After

Abstract Prolonged drought, population growth and water demand for various purposes have increased the water scarcity issue. To overcome this issue, a rainwater harvesting system can be utilized as an alternative for clean water supply. A rainwater harvesting system is a method of collecting rainwater from man-made surfaces such as rooftops and constructed surfaces and can be used for various sectors including household, agricultural and commercial. This study was conducted to determine the quality of rainwater harvested collected directly from rooftop. The quality of the rooftop rainwater was taken in three consecutive months and the water quality for before and after treatment was measured and compared. Commercial activated carbon was used to treat the rainwater obtained from the rooftop. The water quality was compared with the Water Quality Index (WQI) and the National Water Quality Standards (NWQS). The parameters involved are pH, temperature, conductivity, dissolved oxygen (DO), total suspended solids (TSS), ammoniacal nitrogen (NH3-N), biochemical oxygen demand (BOD), chemical oxygen demand (COD),E.coli and total coliform bacteria. The results showed that the total value of WQI before and after treatment was 86.3 ± 8.963 and 87.6±2.081, respectively. Positive correlations were found for parameter NH3-N, COD and pH, while paired T-test showed a significant in the COD and the presence of bacteria. Total Coliform is still at a safe level by NWQS with the average value and the standard deviation for before and after treatment were 38.11 ± 13.960 cfu/ml and 10.33 ± 6.671 cfu/ml, respectively.

scholarly journals Water Quality and Microbial Community Changes in an Urban River after Micro-Nano Bubble Technology in Situ Treatment

Water ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 66 ◽  
Author(s):  
Yifei Wu ◽  
Hui Lin ◽  
Weizhao Yin ◽  
Sicheng Shao ◽  
Sihao Lv ◽  
...  
Keyword(s):  
Water Quality ◽  
Community Structure ◽  
Microbial Community ◽  
Microbial Community Structure ◽  
Oxygen Demand ◽  
Ammonia Nitrogen ◽  
Oxidation Reduction ◽  
Oxidation Reduction Potential ◽  
Dominant Bacteria

Currently, black-odor river has received great attention in China. In this study, the micro-nano bubble technology (MBT) was used to mitigate the water pollution rapidly and continuously by increasing the concentration of dissolved oxygen (DO) in water. During treatment, the concentration of DO increased from 0.60 mg/L to over 5.00 mg/L, and the oxidation reduction potential (ORP) also changed from a negative value to over 100.00 mV after only five days aeration. High throughput pyrosequencing technology was employed to identify the microbial community structure. At genus level, the dominant bacteria were anaerobic and nutrient-loving microbes (e.g., Arcobacter sp., Azonexus sp., and Citrobacter sp.) before, and the relative abundances of aerobic and functional microbes (e.g., Perlucidibaca sp., Pseudarcicella sp., Rhodoluna sp., and Sediminibacterium sp.) were increased after treatment. Meanwhile, the water quality was significantly improved with about 50% removal ratios of chemical oxygen demand (CODCr) and ammonia nitrogen (NH4+-N). Canonical correspondence analysis (CCA) results showed that microbial community structure shaped by COD, DO, NH4+-N, and TP, CCA1 and CCA2 explained 41.94% and 24.56% of total variances, respectively. Overall, the MBT could improve the water quality of urban black-odor river by raising the DO and activate the aerobic microbes.

scholarly journals Water quality prediction analysis of Qingyi River based on time series

2019 ◽  
Vol 118 ◽  
pp. 03005
Author(s):  
Yulan Luo ◽  
Qingsong Chen ◽  
Ying Liu ◽  
Xiaohui Xie ◽  
Qianying Du
Keyword(s):  
Water Quality ◽  
Time Series ◽  
Prediction Accuracy ◽  
Drainage Basin ◽  
Oxygen Demand ◽  
Arma Model ◽  
Ammonia Nitrogen ◽  
Series Method ◽  
Water Quality Prediction ◽  
Time Series Method

According to the current situation of water quality in drainage basin, the key to improve the prediction accuracy is to select the appropriate prediction model of water quality. The time series method excellently reflected the continuity of the future data in the case of emphasizing historical data. What’s more, the time series method has the higher short-term prediction accuracy and simple modeling process. So, the time series method was used to establish the Auto-Regressive and Moving Average (ARMA) model for the time series of the concentration of dissolved oxygen (DO), biochemical oxygen demand (BOD5), chemical oxygen demand (CODCr), ammonia nitrogen (NH3-N) and total nitrogen (TN) at the Guidu fu section of Qingyi River from January 2011 to December 2015. Then, the concentrations of the five water quality indicators from January to June 2016 were predicted, which were verified and analyzed with the measured values. The results show that the model has fine fitting effect and higher prediction accuracy, which can accurately reflect the current and future change trends of the water quality.

scholarly journals Water quality in the lotic area of the Antas river before and after the construction of the Monte Claro hydroelectric plant, south Brazil

2013 ◽  
Vol 24 (3) ◽  
pp. 314-325 ◽  
Author(s):  
Adriane Marques Pimenta ◽  
Leonardo Marques Furlanetto ◽  
Edélti Faria Albertoni ◽  
Cleber Palma-Silva
Keyword(s):  
Water Quality ◽  
River Flow ◽  
Hydroelectric Plant ◽  
Monitoring Program ◽  
Water Quality Monitoring ◽  
Fecal Coliforms ◽  
Trophic State Index ◽  
Before And After ◽  
South Brazil

AIM: This study characterized the water quality of the lotic areas of the Rio das Antas (Antas River)influenced by the construction of the Monte Claro hydroelectric plant (South Brazil), a run-of-the-river reservoir. METHODS: To assess the water quality, we selected four sampling points based on the results obtained in the water-quality monitoring program performed by CERAN (the Rio das Antas Energetic Company) in the pre-filling (2002-2004) and post-filling (2005-2008) periods. The river flow was monitored during both of the periods. Seasonal samplings were conducted, and alkalinity, chlorophyll a, total and fecal coliforms, conductivity, color, BOD, COD, total phosphorus, nitrate, nitrite, ammoniacal nitrogen, dissolved oxygen, pH, total dissolved solids, suspended solids, sulfates, temperature and turbidity were evaluated. The results were interpreted according to the Brazilian Environmental Council's Water Quality Index, Trophic State Index and CONAMA Resolution 357/05. To verify the occurrence of alterations before and after the plant operation, t-tests were performed. RESULTS: Significant changes in water quality were not observed after the impoundment. The permanence of the characteristics of the natural hydrography was important for maintaining the water quality. The decline of the water quality in a stretch with reduced flow was caused by Burati stream, a tributary containing high concentrations of nutrients and fecal coliforms. CONCLUSIONS:The Monte Claro hydroelectric plant did not alter the water quality of the Antas River. The small reservoir resulting from the plant project favors the maintenance of the water quality of the river and does not favor eutrophication. Attention should be given to Burati stream, a tributary of the Antas River, regarding its high nutrient and coliform content.

Analyzing of water quality at Ooty for drinking purpose

2021 ◽  
Vol 2 (2) ◽  
pp. 091-099
Author(s):  
Gandhimathi A ◽  
Naresh K
Keyword(s):  
Water Quality ◽  
Oxygen Demand ◽  
Ammonia Nitrogen ◽  
Summer Season ◽  
Total Hardness ◽  
Quality Of Water ◽  
Sample Water ◽  
Very High ◽  
Drinking Purpose

Analyzing of water quality at Ooty town and to provide clean and safe water. The water quality is analyzed and tabulated in this paper. So we are able to know the quality of water available in the sample taken. The water analyzed about the chemical, physical and biological characteristics of water. It is used to measure the appearance of sample water for the need of living. Water samples are collected from the open well (Latitude and longitude coordinates are 11.410000, 76.699997). The samples were tested for parameters like pH, turbidity, total hardness, fluoride, dissolved oxygen, ammonia nitrogen, chemical oxygen demand, acidity, and alkalinity. The values which are obtained from each parameter were compared with the Indian Standards: 10500 (Drinking water specifications). During the summer season the water demand is very high hence from the result the water was found to be safe for drinking.

scholarly journals Assessment of river water quality in the South Baltic coast by multivariate techniques

2011 ◽  
Vol 9 (2) ◽  
pp. 265-274 ◽  
Author(s):  
Monika Cieszynska ◽  
Marek Wesolowski ◽  
Maria Bartoszewicz ◽  
Malgorzata Michalska
Keyword(s):  
Water Quality ◽  
Temporal Trends ◽  
Monitoring Program ◽  
Oxygen Demand ◽  
Large Data ◽  
Water Quality Monitoring ◽  
Multivariate Techniques ◽  
Data Set ◽  
Water Properties ◽  
Physicochemical Composition

AbstractThe paper presents an example of using multivariate techniques to interpret a large data set obtained during a 4-year water quality monitoring program in the Gdansk Municipality region, on the southern coast of the Baltic Sea. From 2004 to 2007, 11 physicochemical water parameters were analyzed monthly at 15 sites within eight watercourses. Principal-components analysis and cluster analysis were used to explore the data. Spatio-temporal trends in water quality were evaluated, the variables that determined the data set’s structure and the factors that affected the water’s physicochemical composition identified, with the goal of helping to optimize future monitoring. To reduce the number of analyzed variables, relationships between the analyzed parameters were also identified. The results revealed that the differences in physicochemical water properties among stations were generally smaller than those between the warmer and cooler seasons. It was determined that seasonal intrusions of brackish water from the Gulf of Gdansk can modify the water properties of some watercourses in the study area, but that dissolved oxygen, chemical oxygen demand, and total phosphorus were the main parameters responsible for the overall variation in the observed data. These parameters are related to pollution of anthropogenic origin.

scholarly journals Water Pollution and Its Causes in the Tuojiang River Basin, China: An Artificial Neural Network Analysis

2021 ◽  
Vol 13 (2) ◽  
pp. 792
Author(s):  
Zheng Zeng ◽  
Wei-Ge Luo ◽  
Zhe Wang ◽  
Fa-Cheng Yi
Keyword(s):  
Neural Network ◽  
Water Pollution ◽  
Water Quality ◽  
Artificial Neural Network ◽  
River Basin ◽  
Back Propagation ◽  
Oxygen Demand ◽  
Ammonia Nitrogen ◽  
National Standards ◽  
Artificial Neural

This work aimed to assess the water quality of the Tuojiang River Basin in recent years to provide a better understanding of its current pollution situation, and the potential pollution risks and causes. Water quality parameters such as dissolved oxygen (DO), ammonia–nitrogen (NH3-N), total phosphorus (TP), the permanganate index (CODMn), five-day biochemical oxygen demand (BOD5), pH, and concentrations of various heavy metals were measured in the Tuojiang River, according to the national standards of the People’s Republic of China. Samples were collected between 2012 to 2018 at 11 national monitoring sites in the Tuojiang River Basin. The overall water pollution situation was evaluated with back propagation artificial neural network (BP-ANN) analysis. The pollution causes were analyzed considering both industrial wastewater discharge in the upper reaches and the current pollution situation. We found potential risks of excessive NH3-N, TP, Cd, Hg, and Pb concentrations in the Tuojiang River Basin. Moreover, corresponding water pollution control suggestions were given.

Sign in / Sign up

Export Citation Format

Share Document